* Add avgpool bwd reference code
* Refine naming
* Fix invalid in_element op in ref_conv
* Add example (only reference now)
* Add the full example of avgpool bwd
* Fix copyright
* Imitate MakeDescriptor from transform_conv_bwd_data_to_gemm_v1.hpp
* rename channel to c from k
* Arrange the code
* Imitate the argument from conv bwd
* Implement invoker
* Fix order of parameter in example
* Refactor reference code for different dimension
* Support different stride
* Check if argument is valid
* Fix kernel parameter for NDHWC, fastest dimension C is not reduced
* Add more data type in example
* Fix bug in example
* calculate Do Ho Wo according to the dilation
* Remove useless header
* Add comment in reference code
* Add layout parameter
* Remove layout in derived class
* Refine reference comment
* Enable grouped conv with small K or C
* Add missing instances
* Refactor grouped conv fwd instances
* Fix fp16 instances since it supports src_per_vec %2 = 0
* Add generic instances
* Add wei_strides to grouped conv3d wei to keep consistency
* Fix strides in client examples
* Unify backward weight api with forward
* Fix for example
* Fixes for examples
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Add s_nops after v_dot to avoid hazard
* Fix builtin for inner_produxt fp16
* Skip inline version to builtin
* Add comments regarding isa
* Fix comment regarding s_nop
* initial stream-k implementation with example
* fix unexpected change in err
* improve a little bit performance by reorganize pipeline.
* improve perf a little bit by swizzle block idx
* add profiler
* update example
* fix spelling
* shrink karg for streamk
* support dynamic buffer using memory coherence glc_slc bit from template
* control memory coherence while construct dynamic buffer
* update reduction for streamk(not ready yet)
* Add template parameter to make_dynamic_buffer to support amd_buffer coherence setting
* fix build issue
* fix several bug
* now result is correct, everything works (but has scratch)
* remove scratch by manually reset coordinate
* update device code
* fix a bug in final reduce
* fix something in example
* update async memset
* fix enum as camel case
* modify coherence enum name
* clean code and use atomic streamk by default
* remove unused var
* throw exception if have empty pointer
* fix format
* fix CI warning
* fix type in init
* modify CI error
* filter out on gfx10+
* restore changed example code
---------
Co-authored-by: Qianfeng Zhang <Qianfeng.Zhang@amd.com>
* first change bias load
* add bias dim and scalervector parameter
* make CDE0BlockTransferSrcVectorDim not work
* changse toinstance
* add limit for CDE0BlockTransferSrcScalarPerVector
* Use dim 0 as faster dim for writing mean/var/count workspace in batchnorm multiblock method [performance]
* Add CountDataType as template parameter in blockwise_welford
* Add utility/get_shift.hpp
* Add BatchNorm multiblock single-kernel implementation
* Add smem inline assembly based implementation of gms_init/gms_barrier/gms_reset for gfx90a
* Renaming in device_batchnorm_forward_impl.hpp
* Tiny fix in the batchnorm_fwd profiler
* Revert "Add smem inline assembly based implementation of gms_init/gms_barrier/gms_reset for gfx90a"
This reverts commit d16d00919c.
* Use the old two-kernel batchnorm multiblock method for gfx1030
* Use the old two-kernel batchnorm multiblock method for gfx908
* use the single-kernel batchnorm multiblock method only for gfx90a
* Remove get_wave_id() from utility/get_id.hpp since it is not used
* Set true for testing running mean/variance and saving mean/invvariance in the examples
* Fix to copy-right words
* Remove un-needed including in utility/get_id.hpp
* Add comments to workgroup_synchronization.hpp
* Remove un-used codes in gridwise_multiblock_batchnorm_forward.hpp
* Renaming in the kernels
* Remove un-used kernel file
* Add maxpool f32 kernel and example
* Revise copyright
* Add device pool bwd device op
* Support f16 and bf16
* Add compute datatype for reference code.
Prevent error in bf16
* Fix type error
* Remove layout
* Fix bf16 error
* Add f16 and bf16 example
* Add more operations
* Implement IsSupportedArgument
* Add changelog
* Add comment
* Add comment
* Remove useless header
* Move initialize of workspace to the run
* Move set din zero to the device operator
* Save din_length_raw
* Remove useless header
* Calculate gridsize according to the number of CU
* Calculate gridSize according to the number of CU.
Remove useless header
* Add put example
* Remove useless header
* Fix CI fail
* Add NumReduceDim template parameter to DeviceSoftmax and Softmax client API to simplify instances collecting
* Move the generic kernel instance to be the first of the instance list for elementwise op of normalization
* Add GetGenericInstance() interface for DeviceOperationInstanceFactory class of DeviceSoftmax
* Add testing of GetGenericInstance() in client_example of Softmax
* Revert "Add testing of GetGenericInstance() in client_example of Softmax"
This reverts commit f629cd9a93.
* Revert "Add GetGenericInstance() interface for DeviceOperationInstanceFactory class of DeviceSoftmax"
This reverts commit a9f0d000eb.
* Support generic kernel instance to be the first instance returned by GetInstances() for GroupNorm
* Move generic kernel instance to separate tuple for elementwise op of normalization
* Remove un-used files for softmax instance
* Store generic kernel instance to separate tuple for softmax
* Add IsSupported checking for generic instance to client example of softmax
* Replace the get_device_normalize_from_mean_meansquare_instances() by the DeviceOperationInstanceFactory class for elementwise-normalization
* clang-format fix
* Remove int8 from softmax instances
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* enable gfx941/942 targets
* fix clang format
* fix the cmake logic for multiple targets
* fix cmake syntax for looping over targets
* add gfx941/942 support for gemm_xdl instances
* Remove M/N/KPad local variables
* Use M/N/KPad to name padded lengths
* Replace duplicated local variable by parameters
* Rename variables M/N/KRaw to M/N/K
* Move AK0/BK0 compute logic into GridwiseGemm
* Use macro to shorten code
* Move CalculateGridSize() logic into GridwiseGemm
* Add comment to credit the implementation source
* Reuse the existing implementation
* Remove no-longer used data members
* Remove elementwise-op objects from interfaces
* Reserve kernel arg as whole object in interfaces
* Remove redundant data member
* Make 3rd type parameter optional
* Remove unnesscary type parameters
* Remove no-longer used descriptor-creation methods
* Move kernel arg type definition into GridwiseGemm
* Add macro to switch between code sections
* Move argument field computing logic into device op side
* Make utility method 'static'
* Declare special methods
* Unify MakeArgument() usage
* Adapt the new GridwiseGemm interface
* Push-down class 'GridwiseGemm::Argument' fields
* Remove no-longer used methods
* Add unused parameters
* Force copying parameters in 'Embed' ctor
* Remove no-longer used descriptors
* Fallback change on BaseArgument
* Remove macro 'INTEGER_DIVIDE_CEIL'
* Make variable naming more consistent
* Make sure methods are only invoked on right place
* Remove tailing underscore in public attribute name
* Remove necessary methods
* Hide computing logic of derived attributes
* Make new 'Embed' ctor only available for device code
* Make sure 'Embed' type args are not references
* Move check for karg.K into CheckValidity()
* Remove more integer division logic form device code
* Undo changes on Embed
* Separate 'Problem' concept out from 'Argument'
* Add overloaded version of __builtin_amdgcn_readfirstlane()
* Remove 'static' specifiers
* Remove more 'static' specifier
* Replace unsigne char by std::byte
* Add 'const' specifier to never changing variable
* Add 'inline' specifier to funcion definition
* Share same name for kernel interfaces
* Fix wrong boundar calculation logic
* Leave the third template arg for compatibility
* Remove unnecessary parameters
* Fix wrong error message (for type name)
* Create descriptor on device side
* Fix wrong debug message
* Remove no-longer used data members
* Rename type trait
* Remove std:: qualifier from standard types
* Replace 'size_t' by 'unsigned'
* Use type alias to hint usage
* Replace static_for<> by ordinary 'for' loop
* Reject unsupported argument
* Rename readfirstlane() to amd_wave_read_first_lane()
* Rename file readfirstlance.hpp as amd_wave_read_first_lane.hpp
* Update function calls
* Reorder statements
* Re-format files
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Remove M/N/KPad local variables
* Use M/N/KPad to name padded lengths
* Replace duplicated local variable by parameters
* Rename variables M/N/KRaw to M/N/K
* Move AK0/BK0 compute logic into GridwiseGemm
* Use macro to shorten code
* Move CalculateGridSize() logic into GridwiseGemm
* Add comment to credit the implementation source
* Reuse the existing implementation
* Remove no-longer used data members
* Remove elementwise-op objects from interfaces
* Reserve kernel arg as whole object in interfaces
* Remove redundant data member
* Make 3rd type parameter optional
* Remove unnesscary type parameters
* Remove no-longer used descriptor-creation methods
* Move kernel arg type definition into GridwiseGemm
* Add macro to switch between code sections
* Move argument field computing logic into device op side
* Make utility method 'static'
* Declare special methods
* Unify MakeArgument() usage
* Adapt the new GridwiseGemm interface
* Push-down class 'GridwiseGemm::Argument' fields
* Remove no-longer used methods
* Add unused parameters
* Force copying parameters in 'Embed' ctor
* Remove no-longer used descriptors
* Fallback change on BaseArgument
* Remove macro 'INTEGER_DIVIDE_CEIL'
* Make variable naming more consistent
* Make sure methods are only invoked on right place
* Remove tailing underscore in public attribute name
* Remove necessary methods
* Hide computing logic of derived attributes
* Make new 'Embed' ctor only available for device code
* Make sure 'Embed' type args are not references
* Move check for karg.K into CheckValidity()
* Remove more integer division logic form device code
* Undo changes on Embed
* Separate 'Problem' concept out from 'Argument'
* Share same name for kernel interfaces
* Reject unsupported argument
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Add license header.
* Reduce number of logged output. Add constant initialization.
* Add functional tests for grouped_gemm with different kbatch value.
* Add debug log informations + remove unused code.
* Don't pass kbatch to CalculateKPadded.
* Turn on logging in grouped gemm and gemm splitk profiler
* Debug: limit number of test cases to run;
* Log more information and initialize with constant value.
* Turn on DEBUG_LOG
* Add more debug log informations.
* Limit the number of instances to compile.
* Use GridwiseGemmPipeline
* Use KBatch to calculate K0
* Multiple DebugLog messages.
* Unit tests for multiple KBatch values.
* Refactoring
* Disable logging
* extract out of if statement KBatch update.
* Uncomment instances.
* Disable DebugLog.
* Use Kbatch when calculate KPadded.
* Fix CGridDesc padding.
* Use available helper functions.
* Uncomment code commented for debuggin.
* Remove unnecessary debug log messages.
* Uncomment previously commented code for debug purposes.
* Add KBatch info to profiler output summary log.
* Add gtests for gemm splitk using ckProfiler API.
* Add more test-cases for different data layout.
* Add more test cases for gemm splitk
* Remove old test.
* Unit tests for MKNK ggemm interface.
* Fix and add more unit-tests.
* Constepxr everything!
* Increase error threshold for fp16 and splitk.
Since we're using fp16 atomic add for splitk there's a
known precision loss.
---------
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Expand the base class of pool2d, prepare to share base class with pool3d
* Add pool3d device op
* Add pool3d f16 example
* Refactor the base class. implement generic pooling in the future
* clang format
* get original index in max pooling
* Add outputindex to base class
* Fix dimension
* Add pooling instance
* Use indexType instead
* Remove useless header
* Extract IndexDataType to template
* Extract pooling reference code
* clang format
* clang format
* Fix typo
* Add tensor stride
* Add missing header
* Add index stride and output stride
* Refine naming
* Add type to base class
* Rename file
* Use proper size
* Fix typo
* Refine naming
* Modify the argument into vector.
* Add max pool profiler
* Refine naming
* Support f32 pool
* Fix typo
* Add avg pool2d fwd in profiler
* clang format
* Rename AccDatatype to ComputeDatatype
* Fix init
* test pool
* Extract variable
* Add client example
* Check the pooling dim
* clang format
* Connect argv and arg_parser
* Add found check
* Remove useless header
* Refine naming
* Adjust the order of device_pool_fwd
* enable dl kernels on navi3
* do not build xdl tests and examples on Navi
* run tests before building everything on jenkins
* disable gemm_bilinear on gfx1030
* add gpu targets to installer on Navi
* put tests in the same order as before
* reduce the number of navi targets in CI
* build CI installed for gfx940 as well
* only build for MI300 during QA runs
* replace amd_buffer_atomic_add with hip_atomic_add
* fix grouped_gemm_splitk kernels on mi300
* fix syntax
* revert experimental atomic_add changes
* fix the group of kernels from ticket 723 on MI300
---------
Co-authored-by: Jing Zhang <jizhan@amd.com>
* simplify karg in device/grid split-k op
* fix mk_kn_mn instances
* add more instances
* use name from tensor layout
---------
Co-authored-by: carlushuang <carlus.huang@amd.com>
* Add type_convert implementations for bf16
* Add the fix for conv_fwd
* Add the fix for conv_bwd_data
* Add the fix for conv_bwd_weight
* Format
* Format
* Another format
* Add a macro to use workaround on MI200 only
* Format
---------
Co-authored-by: Rosty Geyyer <rosty.geyyer@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Add conv perlayer quantization
* Add gemm_dlops quantization
* Support int8 for innerproduct
* Refine gemm dlops int8 kernel parameter
* Support gfx908(MI100) and gfx90a(MI200)
* clang-format
* Rename example number
* Support different layout for d tensor
* Add conv dlops perchannel quantization example
* Move to example 40
* Extract the common code for different platform (dlops and xdlops)
* Move ot subfolder. Prepare to add other op of quantization
* Refine the quantization instance library
* Add conv dl instances and client example
* Remove unnecessary type
* Add gemm quantization instance
* Add external api and client example
* Refine num_bytes
* Separete different layout to different cpp
* Add more xdl instances
* Revert "Remove unnecessary type"
This reverts commit 820869182f.
* Remove CShuffleDataType in dlops
Let acc and CShuffleDataType be the same in xdlops
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* Pass shared mem pointer as pointer to void.
* Device Op GroupedGEMM Multiple D
* Example for grouped gemm multiple d.
* Add MI200 to supported archs.
---------
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
* make conv_fwd_bias_activation kernel id unique
* add more parameters to conv and gemm kernel names
* update GetTypeString for conv and gemm kernels
* fix two more kernel strings
* Grouped gemm + Gelu instances.
* Device Instance Factory for GroupedGemm+Gelu
* Client example
* Rangify fill helper functions.
* Fix name clash.
* Profiler for grouped_gemm+gelu
* No need to use full namespace name.
* Add check for MRaw divisible by vector load.
* Ugly fix for big errors.
* Add grouped_gemm+gelu to profiler CMakelists.
* Store in argument additional info.
* Information about Mraw, Nraw, Kraw values.
* Use FastGelu instead of Gelu.
* Change client ex to use FastGelu
* Remove relaxed error precision.
* Remove duplicate output elementwise-op
---------
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
